This project involved the development of a skin lesion classification model using three powerful Convolutional Neural Networks (CNNs) - DenseNet121, ResNet50, and Xception. The aim was to accurately classify skin lesion images from the HAM10000 dataset into seven different categories and evaluate the classification performance of each CNN to determine which one is the best. The implementation was carried out using Python within a Jupyter Notebook environment.

This project aimed at creating an interactive exploration experience of Exeter University through a captivating trivia quiz. The primary objective was to engage users by challenging them with questions related to the university. Correctly answering these questions would unlock various campus locations, encouraging users to delve deeper into their knowledge of Exeter University. Plain HTML,CSS and Javascript were used for frontend and Python Django for backend.

Team of 6

This project aimed to create an application dedicated to monitoring COVID-19 cases in Exeter. The application allows users to visualize reported cases on a map of Exeter, log the places they visited on specific dates and times, and report their own positive COVID-19 test results. The application was developed using HTML, CSS, and JavaScript for the frontend, while PHP was utilized for the backend to execute queries to the SQL database.

The project is an Educational Quiz Platform developed for an IB Computer Science Internal Assessment. It utilizes Java Swing framework and WindowBuilder plugin to create a user-friendly interface. The system serves two types of users: Admin and Student. The Admin role involves creating quizzes with multiple-choice questions. Admins can manage quizzes, add new questions, and customize the content. Students can access quizzes, answer questions, and submit their responses. After completion, the system provides immediate feedback by displaying the final score and completion time.